journal article·2019-07

Memristor‐Based Efficient In‐Memory Logic for Cryptologic and Arithmetic Applications

Liying Xu, Rui Yuan, Zhenhua Zhu, Keqin Liu, Zhaokun Jing, Yimao Cai, Yu Wang, Yuchao Yang, Ru Huang

Advanced Materials Technologies· Volume 4· Issue 7
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Abstract

Abstract As the era of big data dawns, conventional digital computers face increasing difficulties in performance and power efficiency due to their von Neumann architecture, leading to an urgent requirement for computing paradigms that can merge logic and memory. An efficient in‐memory logic approach based on unipolar memristors that is capable of implementing all 16 Boolean logic functions in the same cell in less than 3 logic steps using a thermochemical metallization cell, where the confinement of filament diameter and thus switching location have reduced the threshold voltages and improved the switching uniformity, is experimentally demonstrated. The high efficiency of the logic units allows for the construction of novel encryption hardware in which both the encryption and decryption processes are achieved by memristor logic while the encryption key is also generated from the intrinsic stochasticity of resistive switching. The memristive array is also used to implement the calculation of Hamming distance and 1‐bit binary full adder with high efficiency, thus paving a way for future non‐von Neumann computing architectures.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

National Key Laboratory of Science and Technology on Micro/Nano Fabrication Institute of Microelectronics Peking University Beijing 100871 China

Department of Electronic Engineering Beijing National Research Center for Information Science and Technology (BNRist) Tsinghua University Beijing 100084 China

Funding

National Natural Science Foundation of China

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